Title
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset A. Signoroni Mattia Savardi Sergio Benini Nicola Adami R. Leonardi ... F. Vaccher M. Ravanelli A. Borghesi R. Maroldi D. Farina 92 37 0 08 Jun 2020
UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays G. González A. Bustos J. M. Salinas M. Iglesia-Vayá J. Galant Carlos Cano-Espinosa X. Barber Domingo Orozco-Beltrán M. Cazorla A. Pertusa 106 7 0 06 Jun 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening Luyang Luo Lequan Yu Hao Chen Quande Liu Xi Wang Jiaqi Xu Pheng-Ann Heng OOD 89 79 0 06 Jun 2020
Consistent Estimators for Learning to Defer to an Expert Hussein Mozannar David Sontag 71 205 0 02 Jun 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels Hieu H. Pham T. Le Dat Ngo Dat Q. Tran H. Nguyen 93 164 0 25 May 2020
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning Joseph Paul Cohen Lan Dao Paul Morrison Karsten Roth Yoshua Bengio ... A. Abbasi M. Hoshmand-Kochi Marzyeh Ghassemi Haifang Li T. Duong 77 223 0 24 May 2020
Semi-supervised Medical Image Classification with Global Latent Mixing P. Gyawali S. Ghimire Pradeep Bajracharya Zhiyuan Li Linwei Wang 71 36 0 22 May 2020
SODA: Detecting Covid-19 in Chest X-rays with Semi-supervised Open Set Domain Adaptation Jieli Zhou Baoyu Jing Zeya Wang OOD 26 3 0 22 May 2020
Bridging the gap between Natural and Medical Images through Deep Colorization Lia Morra Luca Piano Fabrizio Lamberti Tatiana Tommasi MedIm 56 15 0 21 May 2020
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification Renato Hermoza Gabriel Maicas Jacinto C. Nascimento G. Carneiro 83 22 0 21 May 2020
Lung Segmentation from Chest X-rays using Variational Data Imputation Raghavendra Selvan Erik Dam Nicki S. Detlefsen Sofus Rischel Kaining Sheng Mads Nielsen A. Pai 101 56 0 20 May 2020
Deep learning classification of chest x-ray images M. S. Majdi K. Salman Michael F. Morris Nirav C. Merchant Jeffrey J. Rodríguez 19 12 0 19 May 2020
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding Fenglin Liu Xuancheng Ren Guangxiang Zhao Chenyu You Xuewei Ma Xian Wu Xu Sun 77 2 0 16 May 2020
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model Quande Liu Lequan Yu Luyang Luo Qi Dou Pheng Ann Heng 94 230 0 15 May 2020
Y-Net for Chest X-Ray Preprocessing: Simultaneous Classification of Geometry and Segmentation of Annotations John McManigle Raquel R Bartz Lawrence Carin 52 3 0 08 May 2020
Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture Hao Sheng Xiao Chen Jingyi Su Ram Rajagopal Andrew Y. Ng 83 32 0 07 May 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia Xi Ouyang Jiayu Huo L. Xia F. Shan Jun Liu ... Xiaohuan Cao Yaozong Gao Dijia Wu Qian Wang Dinggang Shen 69 311 0 06 May 2020
Self-Training with Improved Regularization for Sample-Efficient Chest X-Ray Classification Deepta Rajan Jayaraman J. Thiagarajan Alexandros Karargyris Satyananda Kashyap 32 5 0 03 May 2020
A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays P. R. Bassi R. Attux MedIm 59 144 0 30 Apr 2020
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images Gianluca Maguolo L. Nanni 77 202 0 27 Apr 2020
Learning Decision Ensemble using a Graph Neural Network for Comorbidity Aware Chest Radiograph Screening A. Chakravarty Tandra Sarkar N. Ghosh Ramanathan Sethuraman Debdoot Sheet 44 12 0 24 Apr 2020
A Systematic Search over Deep Convolutional Neural Network Architectures for Screening Chest Radiographs Arka Mitra A. Chakravarty N. Ghosh Tandra Sarkar Ramanathan Sethuraman Debdoot Sheet 56 9 0 24 Apr 2020
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks Narinder Singh Punn Sonali Agarwal 99 193 0 23 Apr 2020
Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study Isarun Chamveha T. Tongdee P. Saiviroonporn Warasinee Chaisangmongkon 18 5 0 23 Apr 2020
Deep-COVID: Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning Shervin Minaee R. Kafieh Milan Sonka Shakib Yazdani G. Soufi 94 834 0 20 Apr 2020
CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT Akshay Smit Saahil Jain Pranav Rajpurkar Anuj Pareek A. Ng M. Lungren MedIm 77 333 0 20 Apr 2020
Models Genesis Zongwei Zhou V. Sodha Jiaxuan Pang Michael B. Gotway Jianming Liang MedIm 75 33 0 09 Apr 2020
Detection of Coronavirus (COVID-19) Associated Pneumonia based on Generative Adversarial Networks and a Fine-Tuned Deep Transfer Learning Model using Chest X-ray Dataset Nour Eldeen M. Khalifa M. Taha Aboul Ella Hassanien S. Elghamrawy MedIm 63 174 0 02 Apr 2020
A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays Ch. Srinivasa Rao Jingyun Liang Runhao Zeng Qi Chen Huazhu Fu Yanwu Xu Mingkui Tan AAML 16 7 0 31 Mar 2020
COVID-19 Image Data Collection Joseph Paul Cohen Paul Morrison Lan Dao 90 1,010 0 25 Mar 2020
Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling Kirill Fedyanin Evgenii Tsymbalov Maxim Panov UQCV 41 7 0 06 Mar 2020
Hybrid Deep Learning for Detecting Lung Diseases from X-ray Images Subrato Bharati Prajoy Podder M. Rubaiyat Hossain Mondal ViT 20 5 0 02 Mar 2020
CLARA: Clinical Report Auto-completion Siddharth Biswal Cao Xiao Lucas Glass M. P. M. Brandon Westover Jimeng Sun 79 28 0 26 Feb 2020
Dynamic Graph Correlation Learning for Disease Diagnosis with Incomplete Labels Daizong Liu Shuangjie Xu Pan Zhou Kun He Wei Wei Zichuan Xu 32 1 0 26 Feb 2020
CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting Pranav Rajpurkar Anirudh Joshi Anuj Pareek Phil Chen Amirhossein Kiani Jeremy Irvin A. Ng M. Lungren LM&MA 84 50 0 26 Feb 2020
Comparing Different Deep Learning Architectures for Classification of Chest Radiographs Keno K. Bressem Lisa Christine Adams C. Erxleben B. Hamm S. Niehues J. Vahldiek 51 168 0 20 Feb 2020
When Radiology Report Generation Meets Knowledge Graph Yixiao Zhang Xiaosong Wang Ziyue Xu Qihang Yu Alan Yuille Daguang Xu MedIm 87 304 0 19 Feb 2020
Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach Isarun Chamveha Treethep Promwiset T. Tongdee P. Saiviroonporn Warasinee Chaisangmongkon MedIm 52 27 0 18 Feb 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 108 294 0 14 Feb 2020
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes R. Draelos D. Dov Maciej A. Mazurowski J. Lo Ricardo Henao Geoffrey D. Rubin Lawrence Carin 93 71 0 12 Feb 2020
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays Mohammad Hashir H. Bertrand Joseph Paul Cohen 75 24 0 07 Feb 2020
On the limits of cross-domain generalization in automated X-ray prediction Joseph Paul Cohen Mohammad Hashir Rupert Brooks H. Bertrand OOD 106 130 0 06 Feb 2020
Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale Jinzheng Cai Adam P. Harrison Youjing Zheng Ke Yan Yuankai Huo Jing Xiao Lin Yang Le Lu MedIm 96 27 0 21 Jan 2020
Continual Learning for Domain Adaptation in Chest X-ray Classification Matthias Lenga H. Schulz A. Saalbach OOD 80 61 0 16 Jan 2020
CheXplain: Enabling Physicians to Explore and UnderstandData-Driven, AI-Enabled Medical Imaging Analysis Yao Xie Melody Chen David Kao Ge Gao Xiang Ánthony' Chen 133 130 0 15 Jan 2020
An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs Joseph D. Janizek G. Erion A. DeGrave Su-In Lee OOD MedIm 66 29 0 13 Jan 2020
Artificial Intelligence for Social Good: A Survey Zheyuan Ryan Shi Claire Wang Fei Fang AI4TS 103 81 0 07 Jan 2020
Split Learning for collaborative deep learning in healthcare M. Poirot Praneeth Vepakomma Ken Chang Jayashree Kalpathy-Cramer Rajiv Gupta Ramesh Raskar FedML OOD 86 135 0 27 Dec 2019
Targeted transfer learning to improve performance in small medical physics datasets M. Romero Y. Interian T. Solberg Gilmer Valdes OOD 68 48 0 14 Dec 2019
Individual predictions matter: Assessing the effect of data ordering in training fine-tuned CNNs for medical imaging J. Zech Jessica Zosa Forde Michael L. Littman 36 5 0 08 Dec 2019